Determination of Inter-Rater Reliability in Pediatric Burn Scar Assessment Using a Modified Version of the Vancouver Scar Scale
Bibliographic record
Abstract
The Vancouver Scar Scale is too subjective for our needs and is not culturally sensitive to our Aboriginal clients. The VSS was modified by developing a color scale to aid with vascularity rating. This study was designed to measure the inter-rater reliability of the modified Vancouver Scar Scale (MVSS). Three raters assessed 14 pediatric patients, resulting in a total of 32 scars. Data were analyzed using a Spearman Rank Order Correlation, intraclass correlation coefficient, and the kappa statistic. All subtests were shown to have significant (P < .05) correlations except for the pigmentation subtest. Because the pigmentation subtest has poor reliability, its inclusion in scar assessment should be questioned. Results indicate that only total scores of the MVSS should be used when determining burn scar outcomes because individual subtest scores appear to have little reliability. Further modifications to the MVSS followed by additional research with greater numbers of subjects are warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.060 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".